I’m a PhD researcher at Imperial College London, co-supervised by IBM Research, where I develop and apply novel machine learning and optimal transport methods across a range of domains. My work focuses on connecting rigorous research with practical impact through collaborations, international projects, and industrial partnerships.
As I approach the final year of my PhD, I’m looking for research scientist roles that will allow me to broaden my experience across computer science and machine learning, and to continue building methods that translate effectively between theory and application.
Optimal Transport
Domain Adaptation
Resource Sharing
Developed and tested constrained optimal transport algorithms for semi-supervised domain adaptation and leveraging flexibility in resource allocation.
Optimal Transport
Anomaly Detection
Industrial Data
Agentic Tool Usage
Applied optimal transport methods to industrial datasets for efficient unsupervised anomaly detection, and for variable matching in LM-coding tasks where structured taxonomies are unavailable.
Optimal Transport
Algorithmic Fairness
Machine Learning
Developed an algorithm for correcting societal unfairness in data through correcting for biases conditional on so-called 'explanatory variables' such as access to education.
Abi Langbridge
